Matthew Shardlow
Title
Cited by
Cited by
Year
A Survey of Automated Text Simplification
M Shardlow
International Journal of Advanced Computer Science and Applications (IJACSA), 2014
1562014
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts
I Korkontzelos, A Nikfarjam, M Shardlow, A Sarker, S Ananiadou, ...
Journal of biomedical informatics 62, 148-158, 2016
1162016
A Comparison of Techniques to Automatically Identify Complex Words
M Shardlow
51st Annual Meeting of the Association for Computational Linguistics …, 2013
772013
An analysis of feature selection techniques
M Shardlow
University of Manchester, 1-7, 2012
49*2012
Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline
M Shardlow
LREC 2014, 1583-1580, 2014
432014
Identification of research hypotheses and new knowledge from scientific literature
M Shardlow, R Batista-Navarro, P Thompson, R Nawaz, J McNaught, ...
BMC medical informatics and decision making 18 (1), 1-13, 2018
382018
Text mining resources for the life sciences
P Przybyła, M Shardlow, S Aubin, R Bossy, R Eckart de Castilho, ...
Database 2016, 2016
272016
The CW Corpus: A New Resource for Evaluating the Identification of Complex Words
M Shardlow
Proceedings of the Second Workshop on Predicting and Improving Text …, 2013
252013
Neural text simplification of clinical letters with a domain specific phrase table
M Shardlow, R Nawaz
Association for Computational Linguistics (ACL), 2019
122019
Bot detection using a single post on social media
S Mohammad, MUS Khan, M Ali, L Liu, M Shardlow, R Nawaz
2019 Third World Conference on Smart Trends in Systems Security and …, 2019
102019
CompLex---A New Corpus for Lexical Complexity Predicition from Likert Scale Data
M Shardlow, M Cooper, M Zampieri
Proceedings of the 1st Workshop on Tools and Resources to Empower People …, 2020
62020
A text mining pipeline using active and deep learning aimed at curating information in computational neuroscience
M Shardlow, M Ju, M Li, C O’Reilly, E Iavarone, J McNaught, S Ananiadou
Neuroinformatics 17 (3), 391-406, 2019
62019
A new corpus to support text mining for the curation of metabolites in the Chebi database
MJ Shardlow, N Nguyen, G Owen, C O'Donovan, A Leach, J McNaught, ...
Proceedings of the Eleventh International Conference on Language Resources …, 2018
52018
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features
P Przybyła, NTH Nguyen, M Shardlow, G Kontonatsios, S Ananiadou
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
52016
CombiNMT: An exploration into neural text simplification models
M Cooper, M Shardlow
Proceedings of The 12th Language Resources and Evaluation Conference, 5588-5594, 2020
42020
Detecting multiword expression type helps lexical complexity assessment
E Kochmar, S Gooding, M Shardlow
LREC, 2020
22020
Predicting Lexical Complexity in English Texts
M Shardlow, R Evans, M Zampieri
arXiv preprint arXiv:2102.08773, 2021
12021
Manchester metropolitan at semeval-2018 task 2: Random forest with an ensemble of features for predicting emoji in tweets
G Luciano, MJ Shardlow
Proceedings of the 12th International Workshop on Semantic Evaluation …, 2018
12018
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features
P Przybyla, N Nguyen, M Shardlow, G Kontonatsios, S Ananiadou
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016
12016
Lexical simplification: optimising the pipeline
M Shardlow
PQDT-UK & Ireland, 2015
12015
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Articles 1–20